Didactopus/docs/graph-aware-planner.md

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Graph-Aware Planner

The graph-aware planner ranks next concepts using a transparent utility model.

Inputs

  • concept graph
  • learner mastery state
  • evidence summaries
  • target concepts
  • semantic similarity estimates
  • project catalog

Current scoring terms

  • readiness_bonus: concept is currently studyable
  • target_distance_weight: closer concepts to the target score higher
  • weak_dimension_bonus: concepts with known weakness signals are prioritized
  • fragile_review_bonus: resurfaced or fragile concepts are review-prioritized
  • project_unlock_bonus: concepts that unlock projects score higher
  • semantic_similarity_weight: concepts semantically close to targets gain weight

Future work

  • learner time budgets
  • spaced repetition costs
  • multi-objective planning
  • planning across multiple targets
  • reinforcement learning over curriculum policies